AWS for Industries

AWS for Health

Author: AWS for Health

AWS Healthcare Customers Announce New Generative AI-Powered Solutions at HIMSS 2024

Aligned with the HIMSS 2024 theme of “creating tomorrow’s health,” AWS for Healthcare and Life Sciences teams are on the ground with our customers and partners highlighting how the cloud helps them generate better insights and better outcomes by leveraging data and applying innovative technologies like generative AI. In addition to speaking slots and demos, […]

Evaluating SARS-CoV-2 binding affinities using Yasara simulations on AWS

Evaluating SARS-CoV-2 binding affinities using Yasara simulations on AWS

Blog guest authored by Dr. Vedat Durmaz of Innophore In 2021, Innophore, a structural bioinformatics startup company aiming at computational enzyme and drug discovery, started the virus.watch project in cooperation with the AWS Diagnostic Development Initiative. The principal goal of this project is the implementation of a monitoring and evaluation system for emerging drug and […]

Introducing the Healthcare Industry Lens for the AWS Well-Architected Framework

Introducing the Healthcare Industry Lens for the AWS Well-Architected Framework

Today, health organizations are using AWS to build cloud workloads that can help improve patient care and drive healthcare innovation forward. These innovative methods are increasing operational efficiency, and creating new, data-driven care plans—all designed to help improve people’s health. Cloud workloads can unlock information contained within a health dataset through comprehensive analytics, or can […]

Get ready for re:MARS: The Healthcare and Life Sciences guide to re:MARS 2022

Get ready for re:MARS: The Healthcare and Life Sciences guide to re:MARS 2022

re:MARS is back! This year, re:MARS is happening in person from Las Vegas, NV from June 21-24, delivering cutting edge talks, demos, workshops, and networking opportunities, as well as a rich on-demand option for virtual attendees. The event is offering 100+ sessions spanning Machine Learning, Automation, Robotics, and Space tracks, with six of them focused […]